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    <fireside:genDate>Sat, 18 Apr 2026 11:54:17 -0500</fireside:genDate>
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    <title>Digital Optimist - Episodes Tagged with “Artificial Intelligence”</title>
    <link>https://digitaloptimist.fireside.fm/tags/artificial%20intelligence</link>
    <pubDate>Fri, 19 Apr 2024 00:00:00 -0400</pubDate>
    <description>It is seductive to fear the future because we are biologically programmed to look for danger. This natural impulse is enabled by popular media.  However, this podcast is meant to awaken a sense of hope for a bright Humalogy™ future. With a more expansive view of the facts, history has proven that humanity constantly progresses. 
Technology is increasing the speed at which we experience this beneficial progression. 
</description>
    <language>en-us</language>
    <itunes:type>episodic</itunes:type>
    <itunes:subtitle>Scott Klososky discusses the possibilities and opportunities of embracing Digital Transformation.</itunes:subtitle>
    <itunes:author>Scott Klososky</itunes:author>
    <itunes:summary>It is seductive to fear the future because we are biologically programmed to look for danger. This natural impulse is enabled by popular media.  However, this podcast is meant to awaken a sense of hope for a bright Humalogy™ future. With a more expansive view of the facts, history has proven that humanity constantly progresses. 
Technology is increasing the speed at which we experience this beneficial progression. 
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    <itunes:explicit>no</itunes:explicit>
    <itunes:owner>
      <itunes:name>Scott Klososky</itunes:name>
      <itunes:email>info@fpov.com</itunes:email>
    </itunes:owner>
<itunes:category text="Technology"/>
<itunes:category text="Business"/>
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  <itunes:category text="Tech News"/>
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<item>
  <title>Episode 39: Artificial Intelligence: Digital Freedom or Slavery</title>
  <link>https://digitaloptimist.fireside.fm/39</link>
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  <pubDate>Fri, 19 Apr 2024 00:00:00 -0400</pubDate>
  <author>Scott Klososky</author>
  <enclosure url="https://aphid.fireside.fm/d/1437767933/c1ea2149-312e-47af-850a-734ed81bfc42/7ae8345b-6c3b-4d8d-8cbf-eb9e69503470.mp3" length="33704551" type="audio/mpeg"/>
  <itunes:episodeType>full</itunes:episodeType>
  <itunes:author>Scott Klososky</itunes:author>
  <itunes:subtitle>The more accurately we can predict the impacts of AI, the better we can adjust how we use it for good. 
</itunes:subtitle>
  <itunes:duration>23:24</itunes:duration>
  <itunes:explicit>no</itunes:explicit>
  <itunes:image href="https://media24.fireside.fm/file/fireside-images-2024/podcasts/images/c/c1ea2149-312e-47af-850a-734ed81bfc42/cover.jpg?v=1"/>
  <description>This is an interstitial podcast between two series. There is so much talk about whether AI is good or bad and those words do not do justice to the complexity of that debate. Scott looks at one important aspect by thinking through whether we might become negatively addicted to the use of AI or will AI free us from mundane tasks and free our creative capabilities – or both! The more accurately we can predict the impacts of AI, the better we can adjust how we use it for good. This is the first podcasts that ends in a warning!
</description>
  <itunes:keywords>artificial intelligence, AI, AI Risk, AI Good, AI Bad</itunes:keywords>
  <content:encoded>
    <![CDATA[<p>This is an interstitial podcast between two series. There is so much talk about whether AI is good or bad and those words do not do justice to the complexity of that debate. Scott looks at one important aspect by thinking through whether we might become negatively addicted to the use of AI or will AI free us from mundane tasks and free our creative capabilities – or both! The more accurately we can predict the impacts of AI, the better we can adjust how we use it for good. This is the first podcasts that ends in a warning!</p>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p>This is an interstitial podcast between two series. There is so much talk about whether AI is good or bad and those words do not do justice to the complexity of that debate. Scott looks at one important aspect by thinking through whether we might become negatively addicted to the use of AI or will AI free us from mundane tasks and free our creative capabilities – or both! The more accurately we can predict the impacts of AI, the better we can adjust how we use it for good. This is the first podcasts that ends in a warning!</p>]]>
  </itunes:summary>
</item>
<item>
  <title>Episode 36: The Digital Amplification of Physical Capabilities</title>
  <link>https://digitaloptimist.fireside.fm/36</link>
  <guid isPermaLink="false">fc4a6ced-b060-4986-a575-f4fc01c00d51</guid>
  <pubDate>Fri, 17 Nov 2023 04:00:00 -0500</pubDate>
  <author>Scott Klososky</author>
  <enclosure url="https://aphid.fireside.fm/d/1437767933/c1ea2149-312e-47af-850a-734ed81bfc42/fc4a6ced-b060-4986-a575-f4fc01c00d51.mp3" length="37602748" type="audio/mpeg"/>
  <itunes:episodeType>full</itunes:episodeType>
  <itunes:author>Scott Klososky</itunes:author>
  <itunes:subtitle>Now is the time to get a clear picture in our minds and wrestle with what we will tell our kids and grandkids when they have the chance to enhance.</itunes:subtitle>
  <itunes:duration>26:06</itunes:duration>
  <itunes:explicit>no</itunes:explicit>
  <itunes:image href="https://media24.fireside.fm/file/fireside-images-2024/podcasts/images/c/c1ea2149-312e-47af-850a-734ed81bfc42/cover.jpg?v=1"/>
  <description>There are two central ways humans will amplify themselves. This podcast deals with the first which is physically improving our capabilities. We were all born with natural bodies. Some of these bodies had weaknesses from birth. Some of our bodies get damaged along the way. What happens when we can repair either of these states and create physical parity in the world? What happens when we can extend lifespan through the use of biotech, nanotech, and digital tech? We stand at the precipice of amazing improvements through the integration of AI, biotech, and nanotech. What kind of world will that lead us into? How much of what science fiction writers has shared for years will come true? Now is the time to get a clear picture in our minds and wrestle with what we will tell our kids and grandkids when they have the chance to enhance. 
</description>
  <itunes:keywords>Transhumanism, Biohacking, Futurism, artificial intelligence</itunes:keywords>
  <content:encoded>
    <![CDATA[<p>There are two central ways humans will amplify themselves. This podcast deals with the first which is physically improving our capabilities. We were all born with natural bodies. Some of these bodies had weaknesses from birth. Some of our bodies get damaged along the way. What happens when we can repair either of these states and create physical parity in the world? What happens when we can extend lifespan through the use of biotech, nanotech, and digital tech? We stand at the precipice of amazing improvements through the integration of AI, biotech, and nanotech. What kind of world will that lead us into? How much of what science fiction writers has shared for years will come true? Now is the time to get a clear picture in our minds and wrestle with what we will tell our kids and grandkids when they have the chance to enhance.</p>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p>There are two central ways humans will amplify themselves. This podcast deals with the first which is physically improving our capabilities. We were all born with natural bodies. Some of these bodies had weaknesses from birth. Some of our bodies get damaged along the way. What happens when we can repair either of these states and create physical parity in the world? What happens when we can extend lifespan through the use of biotech, nanotech, and digital tech? We stand at the precipice of amazing improvements through the integration of AI, biotech, and nanotech. What kind of world will that lead us into? How much of what science fiction writers has shared for years will come true? Now is the time to get a clear picture in our minds and wrestle with what we will tell our kids and grandkids when they have the chance to enhance.</p>]]>
  </itunes:summary>
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<item>
  <title>Episode 33: Technology: Blessing or Poison</title>
  <link>https://digitaloptimist.fireside.fm/33</link>
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  <pubDate>Fri, 21 Jul 2023 06:00:00 -0400</pubDate>
  <author>Scott Klososky</author>
  <enclosure url="https://aphid.fireside.fm/d/1437767933/c1ea2149-312e-47af-850a-734ed81bfc42/f9d8a1a1-3a5a-45bb-9ba4-e396642f959d.mp3" length="52168060" type="audio/mpeg"/>
  <itunes:episodeType>full</itunes:episodeType>
  <itunes:author>Scott Klososky</itunes:author>
  <itunes:subtitle>Is technology a threat to humanity or its greatest blessing? Scott Klososky discusses whether emerging technology poses more threats or opportunities and weighs on the impacts to humanity.</itunes:subtitle>
  <itunes:duration>36:13</itunes:duration>
  <itunes:explicit>no</itunes:explicit>
  <itunes:image href="https://media24.fireside.fm/file/fireside-images-2024/podcasts/images/c/c1ea2149-312e-47af-850a-734ed81bfc42/cover.jpg?v=1"/>
  <description>In the final podcast in the Digital Philosophy series, Scott examines whether technology will ultimately help or hurt the human race. This requires us to understand the recipe of digital interaction we each have and see what the ingredients are that make up our own recipe. To help with that Scott reviews an interesting list of negative impacts of technology, then the opposite side with the positive impacts. Only by meditating on these lists and looking at the digital recipes we each create for our lives can we answer this incredibly important philosophical question. Technology: A blessing or an existential poison! 
</description>
  <itunes:keywords>digital philosophy, technology philosophy, technology trends, artificial intelligence, Is AI dangerous?</itunes:keywords>
  <content:encoded>
    <![CDATA[<p>In the final podcast in the Digital Philosophy series, Scott examines whether technology will ultimately help or hurt the human race. This requires us to understand the recipe of digital interaction we each have and see what the ingredients are that make up our own recipe. To help with that Scott reviews an interesting list of negative impacts of technology, then the opposite side with the positive impacts. Only by meditating on these lists and looking at the digital recipes we each create for our lives can we answer this incredibly important philosophical question. Technology: A blessing or an existential poison!</p>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p>In the final podcast in the Digital Philosophy series, Scott examines whether technology will ultimately help or hurt the human race. This requires us to understand the recipe of digital interaction we each have and see what the ingredients are that make up our own recipe. To help with that Scott reviews an interesting list of negative impacts of technology, then the opposite side with the positive impacts. Only by meditating on these lists and looking at the digital recipes we each create for our lives can we answer this incredibly important philosophical question. Technology: A blessing or an existential poison!</p>]]>
  </itunes:summary>
</item>
<item>
  <title>Episode 17: Machine Learning - Realtime Predictive Analytics </title>
  <link>https://digitaloptimist.fireside.fm/17</link>
  <guid isPermaLink="false">e48f01c6-216d-4640-b0f0-205135f2b097</guid>
  <pubDate>Tue, 24 Aug 2021 17:00:00 -0400</pubDate>
  <author>Scott Klososky</author>
  <enclosure url="https://aphid.fireside.fm/d/1437767933/c1ea2149-312e-47af-850a-734ed81bfc42/e48f01c6-216d-4640-b0f0-205135f2b097.mp3" length="47384406" type="audio/mpeg"/>
  <itunes:episodeType>full</itunes:episodeType>
  <itunes:author>Scott Klososky</itunes:author>
  <itunes:subtitle>The machines are learning. The latest in predictive analytics is called real-time predictive analytics, which uses data from sensors to make predictions about the present and future of an event. In this episode, host Scott Klososky explains why this technology has huge implications for industries like transportation, healthcare, and manufacturing that rely heavily on forecasting as a part of their workflows today.</itunes:subtitle>
  <itunes:duration>32:54</itunes:duration>
  <itunes:explicit>no</itunes:explicit>
  <itunes:image href="https://media24.fireside.fm/file/fireside-images-2024/podcasts/images/c/c1ea2149-312e-47af-850a-734ed81bfc42/episodes/e/e48f01c6-216d-4640-b0f0-205135f2b097/cover.jpg?v=1"/>
  <description>The machines are learning. The latest in predictive analytics is called real-time predictive analytics, which uses data from sensors to make predictions about the present and future of an event. In this episode, host Scott Klososky explains why this technology has huge implications for industries like transportation, healthcare, and manufacturing that rely heavily on forecasting as a part of their workflows today. 
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  <itunes:keywords>AI, ML, Machine Learning, Artificial Intelligence, Technology, Tech Trends, Tech News, Futurist, Business</itunes:keywords>
  <content:encoded>
    <![CDATA[<p>The machines are learning. The latest in predictive analytics is called real-time predictive analytics, which uses data from sensors to make predictions about the present and future of an event. In this episode, host Scott Klososky explains why this technology has huge implications for industries like transportation, healthcare, and manufacturing that rely heavily on forecasting as a part of their workflows today.</p>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p>The machines are learning. The latest in predictive analytics is called real-time predictive analytics, which uses data from sensors to make predictions about the present and future of an event. In this episode, host Scott Klososky explains why this technology has huge implications for industries like transportation, healthcare, and manufacturing that rely heavily on forecasting as a part of their workflows today.</p>]]>
  </itunes:summary>
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<item>
  <title>Episode 16: Machine Learning - How We Train An Artificial Intelligence </title>
  <link>https://digitaloptimist.fireside.fm/16</link>
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  <pubDate>Mon, 02 Aug 2021 22:00:00 -0400</pubDate>
  <author>Scott Klososky</author>
  <enclosure url="https://aphid.fireside.fm/d/1437767933/c1ea2149-312e-47af-850a-734ed81bfc42/43f3f8d7-bf62-49ca-bab4-32f75a4050a0.mp3" length="55253716" type="audio/mpeg"/>
  <itunes:episodeType>full</itunes:episodeType>
  <itunes:author>Scott Klososky</itunes:author>
  <itunes:subtitle>We're in the midst of a technological revolution. The machines are getting smarter and more powerful every day, but how do we train them? Machine Learning enables a computer to learn without being explicitly programmed or supervised on every step, meaning that they can identify patterns on their own without needing a human programmer's input. In this episode, host Scott Klososky explores  what machine learning means for our future as humans, and how it is impacting us already. </itunes:subtitle>
  <itunes:duration>38:21</itunes:duration>
  <itunes:explicit>no</itunes:explicit>
  <itunes:image href="https://media24.fireside.fm/file/fireside-images-2024/podcasts/images/c/c1ea2149-312e-47af-850a-734ed81bfc42/episodes/4/43f3f8d7-bf62-49ca-bab4-32f75a4050a0/cover.jpg?v=1"/>
  <description>We're in the midst of a technological revolution. The machines are getting smarter and more powerful every day, but how do we train them? Machine Learning enables a computer to learn without being explicitly programmed or supervised on every step, meaning that they can identify patterns on their own without needing a human programmer's input. In this episode, host Scott Klososky explores  what machine learning means for our future as humans, and how it is impacting us already.  
</description>
  <itunes:keywords>AI, ML, Machine Learning, Artificial Intelligence, Technology, Tech Trends, Tech News, Futurist, Business</itunes:keywords>
  <content:encoded>
    <![CDATA[<p>We&#39;re in the midst of a technological revolution. The machines are getting smarter and more powerful every day, but how do we train them? Machine Learning enables a computer to learn without being explicitly programmed or supervised on every step, meaning that they can identify patterns on their own without needing a human programmer&#39;s input. In this episode, host Scott Klososky explores  what machine learning means for our future as humans, and how it is impacting us already. </p>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p>We&#39;re in the midst of a technological revolution. The machines are getting smarter and more powerful every day, but how do we train them? Machine Learning enables a computer to learn without being explicitly programmed or supervised on every step, meaning that they can identify patterns on their own without needing a human programmer&#39;s input. In this episode, host Scott Klososky explores  what machine learning means for our future as humans, and how it is impacting us already. </p>]]>
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